IoTMan Agent: Avaliação Qualitativa e Comparação de Ferramentas de Monitoramento para IoT
Resumo
Ambientes de IoT são complexos, com muitas partes móveis e quantidades significativas de dados. Abordagens de monitoramento tradicionais ou domésticas podem não ser escaláveis, ou fornecer entendimento destes ambientes, não provendo observabilidade do sistema. Neste artigo analisamos qualitativamente ferramentas de monitoramento bem conhecidas e estabelecidas em termos de suporte à IoT. Este artigo também propõe uma nova ferramenta de monitoramento de IoT denominada IoTMan Agent, explicando como a ferramenta pode atender demandas específicas de IoT e fornecer o entendimento necessário para gerenciar a complexidade de uma solução de IoT considerando a heterogeneidade e natureza distribuída de tais sistemas.
Referências
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de C. Silva, J., M. Pereira, P. H., de Souza, L. L., M. Marins, C. N., Marcondes, G. A., and Rodrigues, J. J. (2018). Performance evaluation of iot network management platforms. In 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pages 259-265.
Hauser, C. B. and Wesner, S. (2018). Reviewing cloud monitoring: Towards cloud resource profiling. In 2018 IEEE 11th International Conference on Cloud Computing (CLOUD), pages 678-685.
Heideker, A., Ottolini, D., Zyrianoff, I., Kleinschmidt, J., and Kamienski, C. (2019). Imaiot infrastructure monitoring agent for iot: Um agente monitor de infraestruturas para ambientes de iot. In Anais Estendidos do XXXVII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos, pages 9-16, Porto Alegre, RS, Brasil. SBC.
Insights, G. P. (2022). It infrastructure monitoring tools reviews and ratings.
Kostál, K., Helebrandt, P., Bellus, M., Ries, M., and Kotuliak, I. (2019). Management and monitoring of iot devices using blockchain. Sensors, 19(4).
Mota, L. C., Moreno, E. D., and Ribeiro, A. L. (2018). A comparative analysis of protocols for iot network management. In Proceedings of the Euro American Conference on Telematics and Information Systems, EATIS '18, New York, NY, USA. Association for Computing Machinery.
Nagano, M., Arai, Y., Fujihashi, T., Watanabe, T., and Saruwatari, S. (2021). Design and implementation of device monitoring saas for diy-iot systems. In 2021 IEEE International Conference on Consumer Electronics (ICCE), pages 1-4.
Raposo, D., Rodrigues, A., Sinche, S., Sá Silva, J., and Boavida, F. (2018). Industrial iot monitoring: Technologies and architecture proposal. Sensors, 18(10).
Recommendation ITU-T Y.4702 (2016). Common requirements and capabilities of device management in the Internet of things. Standard, TELECOMMUNICATION STANDARDIZATION SECTOR OF ITU.
Santos, L., Rabadão, C., and Gonçalves, R. (2019). Flow monitoring system for iot networks. In Rocha, á., Adeli, H., Reis, L. P., and Costanzo, S., editors, New Knowledge in Information Systems and Technologies, pages 420-430, Cham. Springer International Publishing.
Shahid, M. R., Blanc, G., Zhang, Z., and Debar, H. (2019). Machine learning for IoT network monitoring. In RESSI 2019: Rendez-vous de la Recherche et de l'Enseignement de la Sécurité des Systémes d'Information, RESSI 2019 Rendez-vous de la Recherche et de l'Enseignement de la Sécurité des Systémes d'Information, pages 1-3, Erquy, France.
Shao, X., Yang, C., Chen, D., Zhao, N., and Yu, F. R. (2018). Dynamic iot device clustering and energy management with hybrid noma systems. IEEE Transactions on Industrial Informatics, 14(10):4622-4630.
Silva, D., Heideker, A., Zyrianoff, I., Kleinschmidt, J., 1Soininen, J.-P., Roffia, L., and Kamienski, C. (2022)."A Management Architecture for IoT Smart Solutions: Design and Implementation"."Journal of Network and Systems Management, 30.
Yahia, H. S., Zeebaree, S., Sadeeq, M., Salim, N., Kak, S. F., Adel, A., Salih, A. A., and Hussein, H. A. (2021). Comprehensive survey for cloud computing based natureinspired algorithms optimization scheduling. Asian Journal of Research in Computer Science, 8(2):1-16.
Zyrianoff, I., Heideker, A., Silva, D., Kleinschmidt, J., Soininen, J.-P., Salmon Cinotti, T., and Kamienski, C. (2020). Architecting and deploying iot smart applications: A performance-oriented approach. Sensors, 20(1).
de C. Silva, J., M. Pereira, P. H., de Souza, L. L., M. Marins, C. N., Marcondes, G. A., and Rodrigues, J. J. (2018). Performance evaluation of iot network management platforms. In 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pages 259-265.
Hauser, C. B. and Wesner, S. (2018). Reviewing cloud monitoring: Towards cloud resource profiling. In 2018 IEEE 11th International Conference on Cloud Computing (CLOUD), pages 678-685.
Heideker, A., Ottolini, D., Zyrianoff, I., Kleinschmidt, J., and Kamienski, C. (2019). Imaiot infrastructure monitoring agent for iot: Um agente monitor de infraestruturas para ambientes de iot. In Anais Estendidos do XXXVII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos, pages 9-16, Porto Alegre, RS, Brasil. SBC.
Insights, G. P. (2022). It infrastructure monitoring tools reviews and ratings.
Kostál, K., Helebrandt, P., Bellus, M., Ries, M., and Kotuliak, I. (2019). Management and monitoring of iot devices using blockchain. Sensors, 19(4).
Mota, L. C., Moreno, E. D., and Ribeiro, A. L. (2018). A comparative analysis of protocols for iot network management. In Proceedings of the Euro American Conference on Telematics and Information Systems, EATIS '18, New York, NY, USA. Association for Computing Machinery.
Nagano, M., Arai, Y., Fujihashi, T., Watanabe, T., and Saruwatari, S. (2021). Design and implementation of device monitoring saas for diy-iot systems. In 2021 IEEE International Conference on Consumer Electronics (ICCE), pages 1-4.
Raposo, D., Rodrigues, A., Sinche, S., Sá Silva, J., and Boavida, F. (2018). Industrial iot monitoring: Technologies and architecture proposal. Sensors, 18(10).
Recommendation ITU-T Y.4702 (2016). Common requirements and capabilities of device management in the Internet of things. Standard, TELECOMMUNICATION STANDARDIZATION SECTOR OF ITU.
Santos, L., Rabadão, C., and Gonçalves, R. (2019). Flow monitoring system for iot networks. In Rocha, á., Adeli, H., Reis, L. P., and Costanzo, S., editors, New Knowledge in Information Systems and Technologies, pages 420-430, Cham. Springer International Publishing.
Shahid, M. R., Blanc, G., Zhang, Z., and Debar, H. (2019). Machine learning for IoT network monitoring. In RESSI 2019: Rendez-vous de la Recherche et de l'Enseignement de la Sécurité des Systémes d'Information, RESSI 2019 Rendez-vous de la Recherche et de l'Enseignement de la Sécurité des Systémes d'Information, pages 1-3, Erquy, France.
Shao, X., Yang, C., Chen, D., Zhao, N., and Yu, F. R. (2018). Dynamic iot device clustering and energy management with hybrid noma systems. IEEE Transactions on Industrial Informatics, 14(10):4622-4630.
Silva, D., Heideker, A., Zyrianoff, I., Kleinschmidt, J., 1Soininen, J.-P., Roffia, L., and Kamienski, C. (2022)."A Management Architecture for IoT Smart Solutions: Design and Implementation"."Journal of Network and Systems Management, 30.
Yahia, H. S., Zeebaree, S., Sadeeq, M., Salim, N., Kak, S. F., Adel, A., Salih, A. A., and Hussein, H. A. (2021). Comprehensive survey for cloud computing based natureinspired algorithms optimization scheduling. Asian Journal of Research in Computer Science, 8(2):1-16.
Zyrianoff, I., Heideker, A., Silva, D., Kleinschmidt, J., Soininen, J.-P., Salmon Cinotti, T., and Kamienski, C. (2020). Architecting and deploying iot smart applications: A performance-oriented approach. Sensors, 20(1).
Publicado
23/05/2022
Como Citar
OTTOLINI, Dener; HEIDEKER, Alexandre; KAMIENSKI, Carlos.
IoTMan Agent: Avaliação Qualitativa e Comparação de Ferramentas de Monitoramento para IoT. In: WORKSHOP DE GERÊNCIA E OPERAÇÃO DE REDES E SERVIÇOS (WGRS), 27. , 2022, Fortaleza.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2022
.
p. 141-154.
ISSN 2595-2722.
DOI: https://doi.org/10.5753/wgrs.2022.223558.
